Publication:
Mice make temporal inferences about novel locations based on previously learned spatiotemporal contingencies

dc.contributor.departmentDepartment of Psychology
dc.contributor.departmentGraduate School of Social Sciences and Humanities
dc.contributor.kuauthorDuyan, Yalçın Akın
dc.contributor.kuauthorGür, Ezgi
dc.contributor.kuauthorBalcı, Fuat
dc.contributor.schoolcollegeinstituteCollege of Social Sciences and Humanities
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES
dc.date.accessioned2025-01-19T10:31:17Z
dc.date.issued2023
dc.description.abstractAnimals learn multiple spatiotemporal contingencies and organize their anticipatory responses accordingly. The representational/computational capacity that underlies such spatiotemporally guided behaviors is not fully understood. To this end, we investigated whether mice make temporal inferences of novel locations based on previously learned spatiotemporal contingencies. We trained 18 C57BL/6J mice to anticipate reward after three different intervals at three different locations and tested their temporal expectations of a reward at five locations simultaneously, including two locations that were not previously associated with reward delivery but adjacent to the previously trained locations. If mice made spatiotemporal inferences, they were expected to interpolate between duration pairs associated with previously reinforced hoppers surrounding the novel hopper. We found that the maximal response rate at the novel locations indeed fell between the two intervals reinforced at the surrounding hoppers. We argue that this pattern of responding might be underlain by spatially constrained Bayesian computations. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue3
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipThis research was supported by a grant from the Scientific and Technological Research Council of Turkey (TÜBİTAK) to FB [Grant number: 117K370]. EG was supported by TÜBİTAK through the National Scholarship Program for Ph.D. students (BİDEB 2211E).
dc.description.volume26
dc.identifier.doi10.1007/s10071-022-01715-4
dc.identifier.eissn1435-9456
dc.identifier.issn14359448
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85142197643
dc.identifier.urihttps://doi.org/10.1007/s10071-022-01715-4
dc.identifier.urihttps://hdl.handle.net/20.500.14288/26209
dc.identifier.wos884947700001
dc.keywordsBayesian averaging
dc.keywordsConditioning
dc.keywordsInterval timing
dc.keywordsMice
dc.keywordsPeak interval procedure
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland Gmbh
dc.relation.grantnoTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK; Ulusal Metroloji Enstitüsü, Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, UME, TÜBITAK, TÜBİTAK UME, (117K370, BİDEB 2211E)
dc.relation.ispartofAnimal Cognition
dc.subjectPsychology
dc.titleMice make temporal inferences about novel locations based on previously learned spatiotemporal contingencies
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorGür, Ezgi
local.contributor.kuauthorBalcı, Fuat
local.contributor.kuauthorDuyan, Yalçın Akın
local.publication.orgunit1GRADUATE SCHOOL OF SOCIAL SCIENCES AND HUMANITIES
local.publication.orgunit1College of Social Sciences and Humanities
local.publication.orgunit2Department of Psychology
local.publication.orgunit2Graduate School of Social Sciences and Humanities
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